IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings

Research Article

Message Transmission Reliability Evaluation of CAN Based on DSPN

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  • @INPROCEEDINGS{10.1007/978-3-030-44751-9_30,
        author={Shujun Yong and Lerong Qi and Yunhong Ma and Yifei Zhao},
        title={Message Transmission Reliability Evaluation of CAN Based on DSPN},
        proceedings={IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings},
        proceedings_a={IOTAAS},
        year={2020},
        month={6},
        keywords={Controller area network Reliability evaluation Petri nets},
        doi={10.1007/978-3-030-44751-9_30}
    }
    
  • Shujun Yong
    Lerong Qi
    Yunhong Ma
    Yifei Zhao
    Year: 2020
    Message Transmission Reliability Evaluation of CAN Based on DSPN
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-44751-9_30
Shujun Yong1, Lerong Qi2, Yunhong Ma2,*, Yifei Zhao2
  • 1: Huayin Ordnance Test Center
  • 2: Northwestern Polytechnical University
*Contact email: mayunhong@nwpu.edu.cn

Abstract

The message transmission reliability is an important performance of CAN communication. The message transmission reliability of the CAN refers to the ability of the message to be successfully transmitted within its deadline. In order to assess the message transmission reliability of CAN, a four-node CAN communication model is set up based on the deterministic and stochastic Petri net in this paper, which is used to simulate the arbitration mechanism and error handling mechanism of CAN. The model is used to demonstrate the operation of the CAN bus in an interference environment with transient bursts which is used to simulate the external electromagnetic interference. Message transmission failure probability under the interference is used as the indicator of the message transmission reliability of CAN, and a solution method for proposed model based on the queuing theory is given to acquire the stationary value of the message transmission failure probability. The simulation gives the analysis of reliability of message transmission under different interference arrival intervals, different message priorities, different message periods and different number of nodes, which verifies the validity and feasibility of the proposed model.